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Part of the book series: Graduate Texts in Mathematics ((GTM,volume 86))

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Abstract

In this chapter we assume that information is coded using an alphabet Q with q distinct symbols. A code is called a block code if the coded information can be divided into blocks of n symbols which can be decoded independently. These blocks are the codewords and n is called the block length or word length (or just length). The examples in Chapter 2 were all block codes. In Chapter 13 we shall briefly discuss a completely different system, called convolutional coding, where an infinite sequence of information symbols i 0, i 1, i2,… is coded into an infinite sequence of message symbols. For example, for rate \( \frac{1}{2} \) one could have i 0, i 1, i 2,… → i 0, i0, i 1, i1,…, where i n is a function of i 0, i 1,…, i n . For block codes we generalize (2.1.3) to arbitrary alphabets.

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© 1999 Springer-Verlag Berlin Heidelberg

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van Lint, J.H. (1999). Linear Codes. In: Introduction to Coding Theory. Graduate Texts in Mathematics, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58575-3_3

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  • DOI: https://doi.org/10.1007/978-3-642-58575-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63653-0

  • Online ISBN: 978-3-642-58575-3

  • eBook Packages: Springer Book Archive

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